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DBMS > Bangdb vs. Brytlyt vs. Milvus vs. TimesTen

System Properties Comparison Bangdb vs. Brytlyt vs. Milvus vs. TimesTen

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBrytlyt  Xexclude from comparisonMilvus  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA DBMS designed for efficient storage of vector data and vector similarity searchesIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSVector DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebangdb.combrytlyt.iomilvus.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.bangdb.comdocs.brytlyt.iomilvus.io/­docs/­overview.mddocs.oracle.com/­database/­timesten-18.1
DeveloperSachin Sinha, BangDBBrytlytOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201620191998
Current releaseBangDB 2.0, October 20215.0, August 20232.4.4, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC, C++C, C++ and CUDAC++, Go
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesVector, Numeric and Stringyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolyesnoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnoPL/SQL
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbBrytlytMilvusTimesTen
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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BangdbBrytlytMilvusTimesTen
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